Carbonate rock reservoir pore structure prediction method and device, equipment and storage medium
The embodiment of the invention provides a carbonate reservoir pore structure prediction method and device, equipment and a storage medium. The method comprises the steps of: obtaining a longitudinalwave speed data volume and a density data volume based on seismic prestack inversion; determining a f...
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| creator | PAN JIANGUO LIU XINZE LI ZHI XIAO ZENGJIA SUN LANGQIU ZHAO JIANGUO OUYANG FANG LI CHUANG |
| description | The embodiment of the invention provides a carbonate reservoir pore structure prediction method and device, equipment and a storage medium. The method comprises the steps of: obtaining a longitudinalwave speed data volume and a density data volume based on seismic prestack inversion; determining a first relation model of porosity, longitudinal wave speed and density according to the logging data,determining a second relation model of porosity, longitudinal wave speed and density according to the digital rock core data, and forming a third relation model according to the two models; obtaininga first pore structure factor based on the logging data, obtaining a second pore structure factor based on the digital rock core data, and forming a third pore structure factor according to the two pore structure factors; inputting the longitudinal wave speed data volume and the density data volume into the third relation model to obtain a porosity data volume; intersecting the longitudinal wavevelocity data volume with th |
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The method comprises the steps of: obtaining a longitudinalwave speed data volume and a density data volume based on seismic prestack inversion; determining a first relation model of porosity, longitudinal wave speed and density according to the logging data,determining a second relation model of porosity, longitudinal wave speed and density according to the digital rock core data, and forming a third relation model according to the two models; obtaininga first pore structure factor based on the logging data, obtaining a second pore structure factor based on the digital rock core data, and forming a third pore structure factor according to the two pore structure factors; inputting the longitudinal wave speed data volume and the density data volume into the third relation model to obtain a porosity data volume; intersecting the longitudinal wavevelocity data volume with th</description><language>chi ; eng</language><subject>DETECTING MASSES OR OBJECTS ; GEOPHYSICS ; GRAVITATIONAL MEASUREMENTS ; MEASURING ; PHYSICS ; TESTING</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200605&DB=EPODOC&CC=CN&NR=111239821A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200605&DB=EPODOC&CC=CN&NR=111239821A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PAN JIANGUO</creatorcontrib><creatorcontrib>LIU XINZE</creatorcontrib><creatorcontrib>LI ZHI</creatorcontrib><creatorcontrib>XIAO ZENGJIA</creatorcontrib><creatorcontrib>SUN LANGQIU</creatorcontrib><creatorcontrib>ZHAO JIANGUO</creatorcontrib><creatorcontrib>OUYANG FANG</creatorcontrib><creatorcontrib>LI CHUANG</creatorcontrib><title>Carbonate rock reservoir pore structure prediction method and device, equipment and storage medium</title><description>The embodiment of the invention provides a carbonate reservoir pore structure prediction method and device, equipment and a storage medium. 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The method comprises the steps of: obtaining a longitudinalwave speed data volume and a density data volume based on seismic prestack inversion; determining a first relation model of porosity, longitudinal wave speed and density according to the logging data,determining a second relation model of porosity, longitudinal wave speed and density according to the digital rock core data, and forming a third relation model according to the two models; obtaininga first pore structure factor based on the logging data, obtaining a second pore structure factor based on the digital rock core data, and forming a third pore structure factor according to the two pore structure factors; inputting the longitudinal wave speed data volume and the density data volume into the third relation model to obtain a porosity data volume; intersecting the longitudinal wavevelocity data volume with th</abstract><oa>free_for_read</oa></addata></record> |
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| title | Carbonate rock reservoir pore structure prediction method and device, equipment and storage medium |
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